Face stereo matching and disparity calculation in binocular vision system

Author(s):  
Yue Ming ◽  
Qiuqi Ruan
2013 ◽  
Vol 347-350 ◽  
pp. 883-890 ◽  
Author(s):  
Jie Shen ◽  
Hong Ye Sun ◽  
Hui Bin Wang ◽  
Zhe Chen ◽  
Yi Wei

For the underwater target detecting task, a binocular vision system specialized to the underwater optical environment is proposed. The hardware platform is comprised of a image acquising unit, a image processing unit and a upper computer. Accordingly, the loaded software system is operated for the camera calibration, image preprocessing, feature point extraction, stereo matching and the three-dimensional restoration. The improved Harris operator is introduced for the three-dimensional reconstruction, considering the high scattering and strong attenuation by the underwater optical environment. The experiment results prove that the improved Harris operator is better adapt to the complex underwater optical environment and the whole system has the ability to obtain the three-dimensional coordinate of the underwater target more efficient and accurate.


Robotica ◽  
2007 ◽  
Vol 25 (5) ◽  
pp. 615-626 ◽  
Author(s):  
Wen-Chung Chang

SUMMARYRobotic manipulators that have interacted with uncalibrated environments typically have limited positioning and tracking capabilities, if control tasks cannot be appropriately encoded using available features in the environments. Specifically, to perform 3-D trajectory following operations employing binocular vision, it seems necessary to have a priori knowledge on pointwise correspondence information between two image planes. However, such an assumption cannot be made for any smooth 3-D trajectories. This paper describes how one might enhance autonomous robotic manipulation for 3-D trajectory following tasks using eye-to-hand binocular visual servoing. Based on a novel encoded error, an image-based feedback control law is proposed without assuming pointwise binocular correspondence information. The proposed control approach can guarantee task precision by employing only an approximately calibrated binocular vision system. The goal of the autonomous task is to drive a tool mounted on the end-effector of the robotic manipulator to follow a visually determined smooth 3-D target trajectory in desired speed with precision. The proposed control architecture is suitable for applications that require precise 3-D positioning and tracking in unknown environments. Our approach is successfully validated in a real task environment by performing experiments with an industrial robotic manipulator.


2014 ◽  
Vol 22 (8) ◽  
pp. 9134 ◽  
Author(s):  
Yi Cui ◽  
Fuqiang Zhou ◽  
Yexin Wang ◽  
Liu Liu ◽  
He Gao

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